Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop innovative solutions and optimise digital campaigns for youth audiences.
- Company: Leading tech company in the UK focused on youth digital engagement.
- Benefits: Exciting projects, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact on how brands connect with young people globally.
- Qualifications: Strong skills in Python, SQL, data manipulation, and machine learning.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology company in the United Kingdom is looking for a Data Scientist to help develop innovative solutions in the youth digital ecosystem. The role involves collaborating with product teams to identify business needs and creating models to optimize digital campaigns.
Ideal candidates will have strong skills in Python and SQL, as well as experience in data manipulation and machine learning. This position offers an exciting opportunity to impact the digital engagement of youth audiences globally.
Data Scientist: Youth Insights & AdTech Modeling in London employer: SuperAwesome
Contact Detail:
SuperAwesome Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist: Youth Insights & AdTech Modeling in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data manipulation and machine learning projects. This is your chance to demonstrate your Python and SQL prowess, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, as collaboration with product teams will be key in this role.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Data Scientist: Youth Insights & AdTech Modeling in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your skills in Python and SQL, as well as any experience with data manipulation and machine learning. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about working in the youth digital ecosystem and how you can contribute to our innovative solutions. Let us know what excites you about this opportunity!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled complex problems or optimised campaigns using data. We love seeing how you think and approach challenges, especially in the context of digital engagement.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at SuperAwesome
✨Know Your Data Science Stuff
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these languages, especially in data manipulation and machine learning. This will show that you can hit the ground running!
✨Understand the Youth Digital Ecosystem
Research the latest trends in youth digital engagement and AdTech. Being able to discuss how your insights can help optimise digital campaigns for younger audiences will impress the interviewers and demonstrate your genuine interest in the role.
✨Collaborate Like a Pro
Since the role involves working with product teams, think of examples where you've successfully collaborated in the past. Prepare to share how you identified business needs and contributed to team goals, as this will highlight your teamwork skills.
✨Prepare Questions
Have a few thoughtful questions ready about the company's approach to data science and their vision for youth engagement. This shows that you're not just interested in the job, but also in how you can contribute to their mission.